Structuring the information resources for intelligent ecosystem monitoring system based on camera traps

摘要

Monitoring of animals in the wild using camera traps is one of the promising ways for monitoring animal behaviour and estimation of dynamic of changes in natural systems over the large areas. The installation of camera traps in a predefined place such as animal shelters, trails, watering places provides unique information that is not available by applying other monitoring methods. Present, a lot of methods and algorithms have been developed that allow us to recognize the natural images taking into account the variability of shooting conditions, illumination, location and posture of the animal, as well as a complex textural background, representing various states of the forest, steppe, mountain and tundra landscapes. This paper presents the results of analysis and systematization of monitoring data from images obtained on the protected natural territories in the Krasnoyarsk region. The authors propose the special structure of a centralized data warehouse for an intelligent ecosystem monitoring system. The structure of the data warehouse combines historical, operational and reference data. The content of structural elements of the data warehouse is described in detail. The developed data warehouse combines monitoring data from different sources and makes up a united informational resource for further data processing and solving analytical tasks of environmental monitoring.